mzarnecki / php-rag

This application uses LLMs like DeepSeek, GPT-4o, Claude, Gemini2 or Llama, Mixtral (locally) in order to generate text based on the user input. The user input is used to retrieve relevant information from the database and then the retrieved information is used to generate the text. This approach combines power of LLMs and access to source documen

Date Created 2024-05-21 (10 months ago)
Commits 134 (last one 24 days ago)
Stargazers 39 (0 this week)
Watchers 2 (0 this week)
Forks 2
License mit
Ranking

RepositoryStats indexes 630,459 repositories, of these mzarnecki/php-rag is ranked #550,504 (13th percentile) for total stargazers, and #480,560 for total watchers. Github reports the primary language for this repository as PHP, for repositories using this language it is ranked #14,560/15,734.

mzarnecki/php-rag is also tagged with popular topics, for these it's ranked: php (#5,602/5915),  llm (#2,891/3536),  chatgpt (#2,202/2662),  chatbot (#1,101/1288),  gpt-4 (#630/767),  rag (#571/681),  llms (#548/678),  ollama (#389/480),  gemini (#309/386),  embeddings (#330/380),  genai (#191/231),  llama3 (#155/190)

Other Information

There have been 3 releases, the latest one was published on 2025-02-27 (24 days ago)

Homepage URL: https://medium.com/@michalzarnecki88/a-guide-to-using-llm-retrieval-augmented-generation-with-php-3bff25ce6616

Star History

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Watcher History

Github watchers over time, collection started in '23

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Recent Commit History

134 commits on the default branch (main) since jan '22

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Issue History

No issues have been posted

Languages

The primary language is PHP but there's also others...

PHPPHPHackHackShellShellDIGITAL Command LanguageDIGITAL Command LanguageJavaScriptJavaScriptDockerfileDockerfile

updated: 2025-03-14 @ 07:28am, id: 804026875 / R_kgDOL-x5-w